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• Data Filtering: The available data may have noise or unused information. So, to get the
right results, it should be filtered before processing.

• Data Visualisation: To understand data in a better manner, different visualisation techniques
must be used.
• Data Transformation: Sometimes available data may not be useful in its current form. So,
you need to apply various data transformation techniques, like upscaling, downscaling, etc.

• Science and Mathematics: For generating inferences and predictions, data science employs
a variety of scientific methodologies, algorithms, mathematical formulas, and ideas.
• Machine Learning: Machine learning is the backbone of data science. It is the process of

training a machine to make decisions just like a human brain. It can help to make predictions
about unforeseen or future data.

APPLICATIONS OF DATA SCIENCE
The various applications of data science are as follows:

CAREERS OPPORTUNITIES IN DATA SCIENCE
After comprehending data, data analysis, data science and its applications in daily life, one of the

most frequently asked questions is: what are the various career paths that one could pursue in the
field of data science? You have already learnt that the use of data science is making an impact in
every domain of our life, which includes healthcare, agriculture, stock market, space study,
education, business analysis, law and many more. Consequently, it is generating many career
opportunities as well. Some examples of career options in the field of data science are data
scientist, business intelligence analysts, data mining engineer, data architect, senior data scientist,
etc. Let us discuss these titles in detail.

Business Intelligence Analysts
Business intelligence analysts utilise data to examine a market and to identify the most recent
business trends in their respective industries. This contributes to a better understanding of how a
company’s strategy should be developed.

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